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cctv-monitoring

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This project focuses on developing an Automated Classroom Attendance System leveraging Deep Learning and Transformer models to accurately count students in classrooms. By addressing challenges like occlusions, overlapping individuals, and varied lighting conditions, the system ensures high accuracy and robust performance in real-world scenarios.

  • Updated Jul 28, 2025
  • JavaScript

A production-grade, deep-learning-based anomaly detection system for CCTV surveillance footage. This project uses a PyTorch-based Convolutional Autoencoder to achieve high precision in identifying unusual events. The system is deployed as a scalable REST API using FastAPI and Docker, enabling real-time video analysis. It also includes an MLOps pipe

  • Updated Jul 19, 2025
  • Python

This is the website that i work on SWIMPROJECT 3(Isabela state University) Note I remove some private code on this folder for security purposes fill free to check my code and if I help you with my code fill free to leave a comment . This code is made of Laravel Frame work and other stuff.

  • Updated Oct 17, 2024
  • JavaScript

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